At TreviPay we believe loyalty begins at the payment. Thousands of sellers use our global B2B payments and invoicing network to provide choice and convenience to buyers open new markets and automate accounts receivables. With integrations to top eCommerce and ERP solutions and flexible trade credit options TreviPay brings 40 years of experience serving leaders in manufacturing retail and transportation.
Every day TreviPay employees are challenged and empowered in a supportive collaborative entrepreneurial environment.
Responsibilities
o Support the development of statistical models and other types of predictive models as appropriate to improve our Credit and Fraud risk performance for both application and portfolio risk.
o Support the development of risk and pricing strategies incorporating the predictive models built for Credit and Fraud.
o Develop reports to support credit and risk performance evaluation at both an application and portfolio level
o Generate adhoc analysis to understand Credit and Fraud risk performance
o Access cleanse and analyze relevant internal and external data to support the creation monitoring and improvement of effective B2B credit risk management and pricing strategy techniques across new account origination and existing account management.
o Deliver and communicate high quality datadriven analyses to key stakeholders and senior management that provide key insights leading to actionable results.
o Conduct data exploration data validation and data audits to identify and address data quality issues and recommend improvements.
Requirements:
o Bachelors Degree Required
o Minimum 3 years of proven work experience in a highly analytical environment performing complex business analyses generating datadriven insights and presenting findings to leadership and other stakeholders.
o Knowledge of B2B credit and/or Business Banking credit risk pricing and profitability principles
o Ability to deal with ambiguity and be flexible enough to shift workload in accordance with changing priorities.
o Ability to extract cleanse merge and analyze data from varied internal and external sources.
o Strong analytical and data simulation skills including SAS and/or Python MS Excel Tableau/Sisense or similar analytical and reporting/data visualization packages.
o Strong presentation skills and proficiency in MS Word and PowerPoint
o Experience in analyzing segments of data or utilizing tools to identify and explain patterns trends and/or process improvements
o Ability to create clear concise graphs charts reports and presentations summarizing analytical results and justifying suggested improvements
o High performing contributor with ability to collaborate crossfunctionally with management product technology compliance and enterprise risk
o The ability to multitask in a fastpaced environment
o Strong communication skills both verbal and written
Preferred Qualifications:
o Bachelors or Masters Degree in Statistics Mathematics or similar quantitative field of study
o Knowledge of B2B and/or Business Banking credit product pricing and profitability principles
o Statistical modeling experience (logistic regression machine learning SVM and more)
Why you will love working at TreviPay
Competitive salary
Paid parental leave
Generous paid time off
Medical dental vision FSA Life/AD&D long and short term disability
401K matching
Employee referral program
At TreviPay we believe:
in saying yes to unique and challenging requirements
empowered team members are creative team members
our products make the customers day just a little bit better
work/life balance makes us all more effective
TreviPay is an Equal Opportunity and Affirmative Action Employer. We welcome all veterans and disabled applicants.
Individuals with disabilities will be provided reasonable accommodation to participate in the job application and/or interview process. Please contactto request an accommodation.